Why to Use Hypothesis Test in Comparing Production Machines

Hypothesis testing provides a means for comparing machine performance.

Hypothesis testing is a popular approach for empirically testing whether production equipment or production processes are performing as expected. This approach begins with a belief or unsubstantiated statement, then outlines a rigorous process for testing.

Function

Under hypothesis testing, production managers can compare whether production machines function as expected, based on prior knowledge of how the machines should work.

Null Hypothesis

Prior knowledge of how the production machines should work provides the basis for the null hypothesis or the proposition being tested.

Features

To test a hypothesis, managers collect data on machine performance and conduct statistical tests involving a difference of means. They can then determine the difference between actual and expected performance.

Benefits

Hypothesis testing helps determine whether the difference between the null hypothesis and the actual test results is statistically significant.

Effects

Based on hypothesis test results, production managers can adjust machines, as needed, to ensure they function as expected.

References

• "Impact Analysis in Program Evaluation"; Lawrence B. Mohr; 1994

Resources

• Hypothesis Testing for Management